Implementation of a spike-based perceptron learning rule using TiO<sub>2-x </sub>memristors
Synaptic plasticity plays a crucial role in allowing neural networks to learn and adapt to various input environments. Neuromorphic systems need to implement plastic synapses to obtain basic "cognitive" capabilities such as learning. One promising and scalable approach for implementing neu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2015-10-02.
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| Subjects: | |
| Online Access: | Get fulltext |